Computer-assisted quality control in clinical chemistry.

1977 ◽  
Vol 23 (5) ◽  
pp. 871-872 ◽  
Author(s):  
P P Sher
Keyword(s):  
Quality Control ◽  
Clinical Chemistry ◽  
Control Program ◽  
Computer Assisted ◽  
Summary Statistics ◽  
Total Quality ◽  
Quality Control Program ◽  
Manual Methods ◽  
Time Basis ◽  
Quality Control Data

Abstract A MUMPS comuter program, which stores and retrieves quality-control data from all automated and manual work-station in the laboratory, has been developed as part of a laboratory information system. Tabular displays, Levey-Jennings charts, and summary statistics are available on a real-time basis. Significant economy over previous manual methods has been observed, and the total quality-control program in the laboratory has become a more active and timely process.

Analytical Bias in a Quality Control Scheme

1969 ◽  
Vol 15 (11) ◽  
pp. 1039-1044 ◽  
Author(s):  
John R Allen ◽  
Rachel Earp ◽  
E Christis Farrell ◽  
H D Grümer
Keyword(s):  
Quality Control ◽  
Clinical Chemistry ◽  
Control Program ◽  
Chemistry Laboratory ◽  
Quality Control Program ◽  
Control Scheme ◽  
Clinical Chemistry Laboratory ◽  
Random Times ◽  
Quality Control Scheme ◽  
Control Samples

Abstract A quality control program utilizing both "known" and "blind" control specimens was analyzed in the routine clinical chemistry laboratory. The results obtained with the control samples of 18 automated and nonautomated procedures demonstrated the presence of analytical bias. Only through the evaluation of blind control samples tested at random times can a reliable measure of the proficiency of the laboratory be achieved.

Computer-Assisted Analysis of Clinical Chemistry Quality Control Data

1977 ◽  
Vol 8 (6) ◽  
pp. 24-31 ◽  
Author(s):  
Paul R. Finley ◽  
Roberta Hahn ◽  
John Gaines ◽  
Donald Lichti ◽  
James E. Peebles
Keyword(s):  
Quality Control ◽  
Clinical Chemistry ◽  
Computer Assisted ◽  
Control Data ◽  
Assisted Analysis ◽  
Quality Control Data

scholarly journals A Data Quality Control Program for Computer-Assisted Personal Interviews

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Janet E. Squires ◽  
Alison M. Hutchinson ◽  
Anne-Marie Bostrom ◽  
Kelly Deis ◽  
Peter G. Norton ◽  
...  
Keyword(s):  
Quality Control ◽  
Data Quality ◽  
Control Program ◽  
Quality Data ◽  
Computer Assisted ◽  
Data Quality Control ◽  
Process Data ◽  
Quality Control Program ◽  
High Quality Data

Researchers strive to optimize data quality in order to ensure that study findings are valid and reliable. In this paper, we describe a data quality control program designed to maximize quality of survey data collected using computer-assisted personal interviews. The quality control program comprised three phases: (1) software development, (2) an interviewer quality control protocol, and (3) a data cleaning and processing protocol. To illustrate the value of the program, we assess its use in the Translating Research in Elder Care Study. We utilize data collected annually for two years from computer-assisted personal interviews with 3004 healthcare aides. Data quality was assessed using both survey and process data. Missing data and data errors were minimal. Mean and median values and standard deviations were within acceptable limits. Process data indicated that in only 3.4% and 4.0% of cases was the interviewer unable to conduct interviews in accordance with the details of the program. Interviewers’ perceptions of interview quality also significantly improved between Years 1 and 2. While this data quality control program was demanding in terms of time and resources, we found that the benefits clearly outweighed the effort required to achieve high-quality data.

Cooperative Survey of "SMA" Analyzers in Wisconsin—A Method of Improving Interlaboratory Performance

1973 ◽  
Vol 19 (1) ◽  
pp. 62-66 ◽  
Author(s):  
Ronald H Laessig ◽  
Thomas H Schwartz ◽  
Toni A Paskey
Keyword(s):  
Quality Control ◽  
Reference Material ◽  
Reference Materials ◽  
Interlaboratory Comparison ◽  
Essential Element ◽  
Control Program ◽  
Total Quality ◽  
Quality Control Program ◽  
Large Group ◽  
Cooperative Survey

Abstract A state-wide cooperative quality-control program for automated multichannel analytical systems is described. The survey benefits participating laboratories by providing, through regular comparison, a means of improving interlaboratory precision. A common lot of reference material used for a large group of similar multichannel analyzers is shown to significantly improve their precision. The study delineates components of interlaboratory variation resulting from the inconsistency of the reference materials and from the inherent precision of the analyzers. Errors in the assay values of commercial controls and reference sera, as well as problems of homogeneity in these products, are documented. These errors make some form of regular interlaboratory comparison an essential element of a total quality-control program

scholarly journals PENGENDALIAN MUTU BIDANG MIKROBIOLOGI KLINIK

2018 ◽  
Vol 12 (2) ◽  
pp. 92
Author(s):  
Prihatini Prihatini
Keyword(s):  
Quality Control ◽  
Clinical Chemistry ◽  
Control Program ◽  
Reference Laboratory ◽  
Quality Control Program ◽  
Control Value

The quality control program in microbiology are procedures to identify microorganism,monitoring,to asses laboratory competencein handling clinical materials, other methods needed.QC is essential in bacteriology because nature, unlike clinical chemistry andhematology QC’s, because can’t compare with control value. The QC in microbiology include preparation of pra-analitics,analitics andpost-analitics which depending to personal, material,SOP and micoorganism Specimens, laboratory Instruments like incubators, freezer,autoclaves, must be good preparations. Examinations use control standard, monitoring all of themes periodically The laboratory resultswere recorded and evaluated as reference laboratory. The QC microbiology have been presented, they need large budgets to validity oflaboratory results.

scholarly journals Laboratory Errors: Types and Frequency in a Tertiary Hospital in Bangladesh

2016 ◽  
Vol 33 (1) ◽  
pp. 3-6
Author(s):  
Nasreen Chowdhury ◽  
Md Ibrahim ◽  
Md Aminul Haque Khan
Keyword(s):  
Quality Control ◽  
Clinical Chemistry ◽  
Control Program ◽  
Tertiary Hospital ◽  
Blood Collection ◽  
Quality Control Program ◽  
Laboratory Errors ◽  
Clinical Laboratories ◽  
Primary Sample ◽  
Analytical Errors

Introduction: In our country, very few of clinical laboratories are running proper quality control program and to the best of our knowledge the preanalytical, analytical, and postanalytical rates of laboratory errors have not been studied extensively. In this study we evaluated the preanalytical, analytical, and postanalytical components of laboratory errors in 3,200 consecutive specimens of a clinical chemistry laboratory in a tertiary hospital for measurement of different analyte concentrations in plasma or serum. Materials and methods: This study was conducted during the period from June 2009 to July 2010 on 3,200 specimens. Analytical errors were detected by repeat analysis of primary sample and by checking quality control. Results: The numbers of preanalytical, analytical and postanalytical errors were 23, 14 and 76 respectively among 32000 tests that we have done on 3,200 specimens (average 10 tests per specimen). Moreover, the causes of errors were analyzed and it was found that preanalytical errors were mostly due to specimen drawn distal to IV infusion, specimen for potassium first drawn into GREY tube (containing sodium fluoride and K EDTA) and then transferred into GREEN tube, long tourniquet time and underfilling of blood collection tube. The analytical errors were due to random and systemic errors and postanalytical errors were due to transcription errors. Conclusion: Results of our study suggest that errors mostly occur in the postanalytical part of testing and they are due to transcription errors. To reduce the laboratory errors we suggest introduction of Laboratory Information System (LIS) of the clinical laboratories connected with Hospital Management System along with stringent quality control program in preanalytical, analytical and postanalytical stages.J Bangladesh Coll Phys Surg 2015; 33(1): 3-6

Guidelines for a Dynamic Quality Control Program in a Changing Market

1977 ◽  
Vol 40 (6) ◽  
pp. 423-428 ◽  
Author(s):  
LOUIS J. BIANCO
Keyword(s):  
Quality Control ◽  
Quality Assurance ◽  
Consumer Satisfaction ◽  
Food Industry ◽  
Control Program ◽  
Total Quality ◽  
Market Place ◽  
Quality Control Program ◽  
Quality Product ◽  
Dynamic Quality

The importance of “Plant Quality Controls” have never been greater than they are today. Product Quality Assurance and consumer satisfaction are the two essential ingredients for success in today's competitive market place. It is essential for plants in the Food Industry to establish the proper priorities in their operations for the development of a practical total Quality Control Program, in order to be assured of continued Quality Product production. In this paper are presented a viewpoint analysis of Quality Control and guidelines for the development of a dynamic Quality Control Program in our changing market place.

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